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A novel fast inter-prediction mode decision for H.264/AVC

A novel fast inter-prediction mode decision for H.264/AVC

引用

Conference on Multimedia on Mobile Devices II

作者： Guo, Y Li, HQ Pei, SB Chen, CW Univ Sci & Technol China Dept Elect Engn & Informat Sci MOE Microsoft Key Lab Multimedia Comp & Commun Hefei 230027 Anhui Peoples R China Florida Inst Technol Dept Elect & Comp Engn Melbourne FL 32901 USA

ISBN: (纸本)0819461148

Video coding in wireless environment requires lower computational complexity and lower energy consumption than that used in storage oriented or network oriented application. Although H.264/AVC standard provides considerable higher compression efficiency as compared to the previous standards, its complexity is significantly increased at the same time. In a H.264/AVC encoder, the most time-consuming components are variable block sizes motion estimation and mode decision using rate-distortion optimization (RDO). In this paper, we propose a novel fast inter-prediction mode decision by exploiting high correlation between rate-distortion costs (RD cost) of macroblocks in the current inter frame and their co-located macroblocks in the previous inter frame. Using this new algorithm, we can reduce a number of inter mode candidates and skip motion estimation for these modes. In addition, our algorithm can also decrease a number of tested intra modes. Simulation results show that our approach can save 20% to 50% encoding time, with a negligible PSNR loss less than 0. 1 dB and bit rate increase no more than 2% for almost all the test sequences.

关键词： video coding H.264/AVC standard mobile device inter prediction Rate Distortion Optimization (RDO) mode decision RD cost encoder complexity

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Fast intra-mode decision in H.264 video coding using simple directional masks

Fast intra-mode decision in H.264 video coding using simple ...

引用

Conference on Visual Communications and Image Processing 2005

作者： Kim, J Jeong, J Hanyang Univ Dept Elect & Comp Engn Seoul 133791 South Korea

ISBN: (纸本)0819459763

The H.264/AVC standard improves coding efficiency significantly compared with existing standards. This is at the expense of great computational complexity at the encoder. H.264/AVC adopts rate-distortion optimization (RDO) technique to obtain the best result while maximizing visual quality and minimizing bitrates. To carry out RDO, the encoder undergoes all possible combinations of coding modes exhaustively. H.264/AVC exploits directional spatial correlation with adjacent blocks for intra prediction. There are 9 directional modes for 4x4 luma blocks, 4 directional modes for 16x16 macroblocks and 8x8 chroma. blocks, respectively. To determine the appropriate direction, based on the RDO computation, the number of mode combinations in each MB is 592. For a fast intra mode decision, we propose an algorithm to reduce the number of RDO computations using simple directional masks and adjacent mode information. The proposed method carries out 4 RDO calculations at the most for 4x4 luma blocks, and 2 RDO computations for 16x16 luma. blocks and 8x8 chroma blocks, respectively. We verified the proposed algorithm by implementing on JM reference software and comparing with the case of exhaustive search. Simulation results show the proposed method reduces the ending time up to 70% with negligible loss of PSNR and bitrate increase.

关键词： intra prediction H.264/AVC video coding encoder complexity

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Compressed Sensing based Adaptive Video Coding for Resource Constrained Devices 12

Compressed Sensing based Adaptive Video Coding for Resource ...

引用

12th International Wireless Communications & Mobile Computing Conference (IWCMC)

作者： Rehman, Atif ur Shah, Ghalib A. Tahir, Muhammad Univ Engn & Technol Al Khawarizmi Inst Comp Sci Lahore 54000 Pakistan

ISBN: (纸本)9781509003044

Compressed Sensing(CS) based video coding techniques are low-complexity in general, but with marginal compression results. Also, wireless multimedia devices have serious resource constraints, with fluctuations in bandwidth(for up-link traffic) and available power. In this paper we propose a nested technique in which CS data is further compressed within the CS domain to give far better compression results. Our technique is block based and Sum of Absolute Difference(SAD) values are used to estimate the amount of motion in each Macro Block(MB). The MB's are suppressed in subsequent frames according to the estimated motion. Later in the paper, we propose an adaptive compression mechanism, which adjusts the amount of compression according to fluctuations in resources.

关键词： Video Compression encoder complexity Temporal Correlation Compressive Sensing Adaptive Compression Block Compressive Sensing

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Multilevel ML Assistance to High Efficiency Video Coding

Multilevel ML Assistance to High Efficiency Video Coding

引用

International Conference on Computer, Communication and Computational Sciences (IC4S)

作者： Pawar, Chhaya Shishir Sawarkar, SudhirKumar D. Datta Meghe Coll Engn Navi Mumbai Maharashtra India

ISBN: (纸本)9789811368615;9789811368608

High efficiency video coding (HEVC) standard also known as H.265 is an emerging international standard for video coding developed by joint collaborative team on video coding which is completed in January 2013. It provides around twice as much compression as H.264 for same the visual quality of the video. This bit rate reduction up to 50% comes with the increased complexity in encoder. The complexity is introduced mainly due to the additional angular modes for intraprediction, introduction of larger coding units and their flexible partitioning structure. HEVC encoders are expected to be much complex than H.264/AVC and will be an area of active research in future. This paper proposes a machine learning-based multilevel assistance to intra- and interprediction stage of video coding so as to reduce the computational complexity and avoid the huge wastage of computational efforts. Also brings the context awareness to improve the overall performance of the system.

关键词： HEVC encoder complexity Intraprediction Interprediction Video coding

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Enhancing SVT-AV1 with LCEVC to improve quality-cycles trade-offs and enhance sustainability of VOD transcoding 45

Enhancing SVT-AV1 with LCEVC to improve quality-cycles trade...

引用

Applications of Digital Image Processing XLV

作者： Cobianchi, Guendalina Meardi, Guido Poularakis, Stergios Walisiewicz, Alexei Abdelkafi, Omran Ben Amara, Foued Kossentini, Faouzi Stejerean, Cosmin Tmar, Hassene V Nova Ltd 20 Eastbourne Terrace London England Intel Corp Suite 700450 SW Marine Dr Vancouver BC V5X 0C3 Canada Meta Platforms 1 Hacker Way Menlo Pk CA USA

ISBN: (纸本)9781510654372;9781510654365

The trade-offs between compression performance and encoding complexity are key in software video encoding, even more so with increasing pressure on sustainability. Previous work "Towards much better SVT-AV1 quality-cycles trade-offs for VOD applications" [1] described three approaches of evaluating compression efficiency vs cycles trade-offs within a convex-hull framework using the Dynamic Optimizer (DO) algorithm developed in [2] [3] for VOD applications. In parallel, the new video codec enhancer LCEVC (Low complexity Enhancement Video Coding) [4], designed to provide gains in speed-quality trade-offs, has recently been standardized as MPEG-5 Part 2. The core idea of LCEVC is to use any video coding standard (such as AV1) as a base encoder at a lower resolution, and then reduce artifacts and reconstruct a full resolution output by combining the decoded low-resolution output with up to two low-complexity reconstruction enhancement sub-layers of the residual data. This paper starts by applying LCEVC to SVT-AV1 [5], as well as x264 [6] and x265 [7], while using two of the approaches presented in [1] to evaluate the resulting compression efficiency vs cycles trade-offs. The paper then discusses the benefits of LCEVC towards higher playback speed and lower battery power consumption when using AV1 software decoding. Results show that, with fast-encoding parameter selection using the discrete convex hull methodology, LCEVC improves the quality-cycles trade-offs for all the tested codecs and across the full complexity range. In the case of SVT-AV1, LCEVC yields a similar to 40% reduction in computations while achieving the same quality levels according to VMAF_NEG [8]. LCEVC also enlarges the set of mobile devices capable of playing HD as well as high-frame-rate content encoded with AV1 and extends mobile battery life by up to 50% with respect to state-of-the-art AV1 software decoding.

关键词： AV1 SVT-AV1 Low complexity Enhancement Video Coding (LCEVC) MPEG-5 Part 2 video compression video coding standard enhancement software codec multi-resolution video coding multi-layer encoding convex hull dynamic optimizer encoder complexity coding efficiency adaptive streaming

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Adaptive Search Range Determination for Geometry based Disparity and Motion Estimation of MVC

Adaptive Search Range Determination for Geometry based Dispa...

引用

Annual Summit and Conference of Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA)

作者： Boonthep, Narasak Chiracharit, Werapon Chamnongthai, Kosin King Mongkuts Univ Technol Thonburi Fac Engn Dept Elect & Telecommun Engn 126 Pracha Uthit Rd Bangkok 10140 Thailand

ISBN: (纸本)9786163618238

Multi-view video consists of a set of multiple video sequences from multiple viewpoints or view directions in the same scene. It contains extremely a large amount of data and some extra information to be stored or transmitted to the user and computational complexity of processing. In order to achieve a better coding performance in multi-view video coding (MVC), the search range for both motion estimation (ME) and disparity estimation (DE) are set twice as large as necessary for ME alone, which brings great computational complexity to the encoder. Search range (SR) of motion search constraints current block to search the matched block within a predefined area in the reference picture. This research proposed an algorithm to solve the redundancy reduction problem to get fast disparity and motion estimation for reducing complexity. We use geometry and adaptive search range by adjust macroblock (MB) type that suitable with window SR. Experimental results show that the proposed method can reduce the encoding time, so that the encoder complexity can be reduced but achieves almost the same compress quality. The encoding time reduce up more than 70%.

关键词： computational complexity image sequences motion estimation video coding MVC adaptive search range determination adjust macroblock type disparity estimation encoder complexity encoding time geometry based disparity matched block motion search constraints current block multiple video sequences multiview video coding redundancy reduction problem reference picture Computational complexity Decision support systems Encoding Geometry Motion estimation Video coding

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Efficient Reference Frame Selection Method for Lightweight HEVC encoder 8

Efficient Reference Frame Selection Method for Lightweight H...

引用

8th IEEE International Conference on Consumer Electronics - Berlin (ICCE-Berlin)

作者： Park, Sang-hyo Jeong, Jinwoo Kim, Sungjei Kim, Yong-Hwan Yonsei Univ Barun ICT Res Ctr Seoul South Korea Korea Elect Technol Inst Intelligent Image Proc Res Ctr Seongnam Si Gyeonggi Do South Korea

ISBN: (纸本)9781538660959

As a demand of video resolution increases highly, video encoder can face difficulties on the computational complexity to process huge pixel data with real-time environment. Many researches have focused on the complexity of high efficiency video coding (HEVC) test model (i.e., HM) which is far from real-time encoding for even high-definition video. However, it has been rarely studied in literature to establish a lightweight HEVC test model (LHM) and to decrease the complexity of LHM further. In this paper, LHM that equips fast encoding options is newly established, and a fast motion estimation (ME) method is proposed to challenge decreasing the encoding complexity of LHM. The proposed method exploits the intriguing correlation of the motion information of merge/skip mode with the information of other motion partitions to minimize the required number of reference frames in ME process. Experimental results showed that the proposed method could substantially decrease the complexity of LHM in view of encoding time as well as memory access.

关键词： HEVC motion estimation encoder complexity multiple reference frame

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Multistage mode decision for intra prediction in H.264 codec

Multistage mode decision for intra prediction in H.264 codec

引用

Conference on Visual Communications and Image Processing 2004

作者： Kim, CS Shih, HH Kuo, CCJ Univ So Calif Integrated Media Syst Ctr Los Angeles CA 90089 USA

ISBN: (纸本)0819452114

A multistage mode decision method to reduce the complexity of Intra prediction in H.264/JVT is proposed in this work. The rate-distortion optimized (RDO) mode decision is adopted by H.264 to achieve the optimal coding gain at the cost of a very high computational complexity. Our research goal is to reduce the complexity of intra prediction without significant RD performance loss. The proposed fast intra prediction algorithm uses two features, i.e. the sum of absolute residual coefficients (SATD) and the sum of absolute gradients (SAG), and a simplified RDO method to determine the best mode for 4x4 blocks. It incorporates an early termination mechanism at various intermediate decision steps to avoid unnecessary computations when a good decision can be made at an earlier stage. It is demonstrated by experimental results that the proposed scheme performs approximately 10 to 30 times faster than the current RDO mode decision (JM7.3a) with little degradation in the coding gain.

关键词： H.264/JVT intra prediction multistage mode decision encoder complexity

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Optimization of CU Partition Based on Texture Degree in H.266/VVC

Optimization of CU Partition Based on Texture Degree in H.26...

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14th Annual Summit and Conference of the Asia-Pacific-Signal-and-Information-Processing-Association (APSIPA ASC)

作者： Tang, Jingyuan Sun, Songlin Beijing Univ Posts & Telecommun Beijing Peoples R China

ISBN: (数字)9786165904773

ISBN: (纸本)9786165904773

H.266/VVC, a new generation of video coding standard, has achieved great performance improvement compared with the previous generation of coding standard, but the Rate Distortion Optimization (RDO) process leads to the increase of intra coding time. In order to reduce the complexity of H.266/VVC, this paper proposes a Coding Unit (CU) early termination segmentation algorithm based on Laplacian operator. The algorithm uses the convolution of the original pixel luminance value and Laplacian operator to obtain the texture degree of each pixel, and calculates the sum of the texture degrees of three specific size of CUs. Among them, the three sizes of CUs correspond to three different thresholds respectively. While the texture degree of the current CU is less than or equal to the threshold corresponding to the CU size, it will be determined as a flat region and will not continue to split downward, which will save the encoding time. Finally, the performance of the algorithm is tested under the common test conditions recommended by JVET. The experimental results show that the algorithm is more effective for high-definition (HD) videos can reduce the encoding time by about 38.64% on average and 36.88% for HD videos under the all intra configuration. For HD videos the change of Y, U and V components of this model are 0.990%, 0.263% and 0%.

关键词： video coding H.266/VVC encoder complexity

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Towards Much Better SVT-AV1 Quality-Cycles Tradeoffs for VOD Applications 44

Towards Much Better SVT-AV1 Quality-Cycles Tradeoffs for VOD...

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Conference Applications of Digital Image Processing XLIV

作者： Wu, Ping-Hao Katsavounidis, Ioannis Lei, Ryan Ronca, David Tmar, Hassene Abdelkafi, Omran Cheung, Colton Ben Amara, Foued Kossentini, Faouzi Facebook Menlo Pk CA USA Intel Corp Suite 700450 SW Marine Dr Vancouver BC V5X 0C3 Canada

ISBN: (数字)9781510645233

ISBN: (纸本)9781510645233;9781510645226

Software video encoders that have been developed based on the AVC, HEVC, VP9, and AV1 video coding standards have provided improved compression efficiency but at the cost of large increases in encoding complexity. As a result, there is currently no software video encoder that provides competitive quality-cycles tradeoffs extending from the AV1 high-quality range to the AVC low-complexity range. This paper describes methods to further improve the SVT-AV1 overall quality-cycles tradeoffs for high-latency VOD applications. The paper first presents the latest SVT-AV1 encoder evaluation results generated using the conventional convex-hull-based evaluation approach. To better account for all the content being considered in the evaluation, the combined convex hull approach is then introduced and corresponding results outlined. A more practical version of the latter approach, referred to as the restricted discrete approach, is then presented. In this approach, only few discrete quality levels that are of relevance to typical adaptive streaming applications are considered. This restriction makes the evaluation data more relevant to real adaptive streaming applications and reduces the storage requirements for the encodings generated at the identified optimal encoder settings. A fast version of the latter approach is then presented, where the generation of the optimal encoder parameters is performed using a fast encoder, and the final encodings needed in the evaluation are generated using the desired encoder based on the identified optimal encoder parameters. These optimizations result in a complexity reduction by up to a factor of 10 for at most 1.5% loss in BD-rate.

关键词： AV1 SVT-AV1 Video compression Coding efficiency Adaptive streaming Convex hull Dynamic optimizer encoder complexity

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